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RegExplainer: Generating Explanations for Graph Neural Networks in
  Regression Task

RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task

15 July 2023
Jiaxing Zhang
Zhuomin Chen
Hao Mei
Dongsheng Luo
Hua Wei
ArXivPDFHTML

Papers citing "RegExplainer: Generating Explanations for Graph Neural Networks in Regression Task"

12 / 12 papers shown
Title
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
J. Qu
Wenhan Gao
Jiaxing Zhang
Xufeng Liu
Hua Wei
Haibin Ling
Y. Liu
AI4CE
31
0
0
04 May 2025
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach
Global Graph Counterfactual Explanation: A Subgraph Mapping Approach
Yinhan He
Wendy Zheng
Yaochen Zhu
Jing Ma
Saumitra Mishra
Natraj Raman
Ninghao Liu
Jundong Li
18
0
0
25 Oct 2024
Explaining Graph Neural Networks with Large Language Models: A
  Counterfactual Perspective for Molecular Property Prediction
Explaining Graph Neural Networks with Large Language Models: A Counterfactual Perspective for Molecular Property Prediction
Yinhan He
Zaiyi Zheng
Patrick Soga
Yaozhen Zhu
Yushun Dong
Jundong Li
16
1
0
19 Oct 2024
LLMExplainer: Large Language Model based Bayesian Inference for Graph
  Explanation Generation
LLMExplainer: Large Language Model based Bayesian Inference for Graph Explanation Generation
Jiaxing Zhang
Jiayi Liu
Dongsheng Luo
Jennifer Neville
Hua Wei
23
2
0
22 Jul 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural
  Networks
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen
Jiaxing Zhang
Jingchao Ni
Xiaoting Li
Yuchen Bian
Md. Mezbahul Islam
A. Mondal
Hua Wei
Dongsheng Luo
11
1
0
03 Feb 2024
Predicting and Interpreting Energy Barriers of Metallic Glasses with
  Graph Neural Networks
Predicting and Interpreting Energy Barriers of Metallic Glasses with Graph Neural Networks
Haoyu Li
Shichang Zhang
Longwen Tang
Mathieu Bauchy
Yizhou Sun
AI4CE
35
0
0
08 Dec 2023
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Explaining the Explainers in Graph Neural Networks: a Comparative Study
Antonio Longa
Steve Azzolin
G. Santin
G. Cencetti
Pietro Lio'
Bruno Lepri
Andrea Passerini
42
27
0
27 Oct 2022
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
Trustworthy Graph Neural Networks: Aspects, Methods and Trends
He Zhang
Bang Wu
Xingliang Yuan
Shirui Pan
Hanghang Tong
Jian Pei
41
98
0
16 May 2022
A Fine-Grained Analysis on Distribution Shift
A Fine-Grained Analysis on Distribution Shift
Olivia Wiles
Sven Gowal
Florian Stimberg
Sylvestre-Alvise Rebuffi
Ira Ktena
Krishnamurthy Dvijotham
A. Cemgil
OOD
215
196
0
21 Oct 2021
Explainability in Graph Neural Networks: A Taxonomic Survey
Explainability in Graph Neural Networks: A Taxonomic Survey
Hao Yuan
Haiyang Yu
Shurui Gui
Shuiwang Ji
162
589
0
31 Dec 2020
Graph Information Bottleneck
Graph Information Bottleneck
Tailin Wu
Hongyu Ren
Pan Li
J. Leskovec
AAML
88
222
0
24 Oct 2020
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
130
194
0
20 Oct 2020
1